À propos de ce cours
4.6
126 notes
•
15 avis
>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<< Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This 1-week, accelerated online course teaches participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The course features interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The course covers data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. PREREQUISITES To get the most out of this course, participants must complete the prior courses in this specialization: • Exploring and Preparing your Data • Storing and Visualizing your Data • Architecture and Performance...
Stacks

Cours 4 sur 4 dans la

Spécialisation From Data to Insights with Google Cloud Platform
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Intermediate Level

Niveau intermédiaire

Clock

Recommandé : 1 week of study, 5-7 hours/week

Approx. 4 heures pour terminer
Comment Dots

English

Sous-titres : English

Compétences que vous acquerrez

BigqueryMachine LearningGoogle Cloud PlatformCloud Computing
Stacks

Cours 4 sur 4 dans la

Spécialisation From Data to Insights with Google Cloud Platform
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Intermediate Level

Niveau intermédiaire

Clock

Recommandé : 1 week of study, 5-7 hours/week

Approx. 4 heures pour terminer
Comment Dots

English

Sous-titres : English

Programme du cours : ce que vous apprendrez dans ce cours

1

Section
Clock
6 minutes pour terminer

Introduction

Welcome to the last course in the Data Insights specialization. In this module we will overview the course topics and the labs platform you will be using. ...
Reading
2 vidéos (Total 6 min)
Video2 vidéos
Course Introduction1 min
Qwiklabs Overview5 min
Clock
21 minutes pour terminer

Introduction to Machine Learning

In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels....
Reading
6 vidéos (Total 21 min), 1 quiz
Video6 vidéos
Introduction to Machine Learning6 min
Demo: Google Photos2 min
What is deep learning? min
ML Applications for Business3 min
ML Terms: Instances, Features, Labels3 min
The Spectrum of ML Tools3 min
Quiz1 exercice pour s'entraîner
Introduction to Machine Learning min
Clock
3 heures pour terminer

Pre-trained ML APIs

In this module we will dive into pre-built and pre-trained ML models that we can access (like image recognition and sentiment analysis) within Cloud Datalab. ...
Reading
11 vidéos (Total 61 min), 3 quiz
Video11 vidéos
Pre-Trained ML Models2 min
Demo: Cloud Translate and Vision APIs5 min
Demo: Natural Language Processing API3 min
Collaborative Notebooks in the Cloud5 min
Demo: Cloud Datalab with BigQuery and Google Analytics7 min
Accessing BigQuery datasets from Cloud Datalab15 min
Visualizing Datasets in Charts1 min
Lab Overview min
Lab Walkthrough10 min
Lab Intro min
Lab Walkthrough8 min
Quiz1 exercice pour s'entraîner
Notebooks in the Cloud10 min

2

Section
Clock
2 heures pour terminer

Creating ​ML Datasets in BigQuery

...
Reading
8 vidéos (Total 35 min), 2 quiz
Video8 vidéos
What makes a dataset good for ML?2 min
Choosing good features8 min
Exploring and Preprocessing Data1 min
Demo: Exploring and Preprocessing Data6 min
Other Tools for Creating Data Pipelines min
Knowing the Unknowable4 min
Creating Repeatable Dataset Splits2 min
Lab Solution: Creating Repeatable Dataset Splits9 min
Quiz1 exercice pour s'entraîner
Intro to Machine Learning10 min
Clock
4 heures pour terminer

Creating ML Models in BigQuery

In this module, you will learn how to create machine learning models directly inside of BigQuery. You will learn the new syntax and work through the phases of building, evaluating, and testing an ML model....
Reading
6 vidéos (Total 54 min), 1 lecture, 3 quiz
Video6 vidéos
Introducing BigQuery Machine Learning5 min
Phases of Model Building2 min
Demo: Predicting Taxi Cab Fare10 min
Demo: Creating a Classification Model12 min
Lab Intro: Predicting Visitor Return Purchases with BigQuery2 min
Lab Solution: Predicting Visitor Return Purchases in BigQuery20 min
Reading1 lecture
BigQuery ML Resources10 min
Quiz1 exercice pour s'entraîner
BigQuery ML min
Clock
3 minutes pour terminer

End of Course Recap

You've made it to the end! Let's review the lessons learned in the course and what resources are available for continued learning....
Reading
1 vidéo (Total 3 min)
Video1 vidéo
Course Summary3 min
4.6

Meilleurs avis

par LL•Aug 11th 2018

The instructor Evan is super great to rolling out machine learning in an easy /understandable way. hope he can tech more in-depth of machine learning.

par SM•Apr 10th 2018

This was a great course in going beyond the lecture to applying the concepts of creating, training, testing and deploying a machine learning model

Enseignant

Google Cloud Training

À propos de Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

À propos de la Spécialisation From Data to Insights with Google Cloud Platform

>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<< Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: ● Data Analysts, Business Analysts, Business Intelligence professionals ● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL....
From Data to Insights with Google Cloud Platform

Foire Aux Questions

  • Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

  • If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

  • Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

  • If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

  • This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid. If you’d like to take this course, but can’t afford the course fee, we encourage you to submit a financial aid application.

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